Senior Data Engineer

Jackson, Michigan Senior Data Engineer #1052686

Job Description:

If you’re looking for a challenging work environment and many opportunities to learn, our company is the place for you. Join our team and become part of a company full of exciting opportunities. We help employees achieve their personal best by offering many opportunities that develop and enhance their skills for career advancement.

• The Applications and Analytics team is the heart of innovation, powering Michigan's future by crafting cutting edge digital solutions that transform our customers and communities experience energy.
• Guided by our digital first strategy, we harness modern technical practices and agile methodologies to ensure data and insights are accessible, reliable and actionable, enabling evidence‑based decision making, operational efficiency and innovation across the organization. Join a dynamic team where collaboration, creativity and impact converge.
• We partner closely with business teams to uncover digital opportunities, prioritize high impact outcomes and deliver trustworthy, user‑friendly technology.
• By embracing our CE way principles—engaging on solutions, illuminating priorities and minimizing waste—we build systems that are simple, helpful and valuable.
• If you’re passionate about innovation, community and shaping a sustainable energy future, come grow with us at company.
• The Principal Data Engineer is responsible for partnering with diverse analytics teams and business stakeholders across the enterprise to design, develop and maintain data pipelines and architecture aligned with established IT best practices.
• Key responsibilities include developing data warehouses, designing, extracting, loading and testing data solutions, performing data modeling, ensuring application stability, assembling and cleansing large datasets, creating and optimizing ETL processes and identifying opportunities to automate manual data processes.
• This role also leads and provides guidance to lower‑level Data Engineers, establishing team standards, frameworks and best practices while ensuring adherence to data engineering principles across analytics teams.

• Assemble and cleanse large datasets from various sources to support business requirements.
• Capture and evaluate requirements from data architects and business partners, assess development alternatives and establish clear delivery timelines.
• Create data visualizations to support customer insights, operational efficiency, and other key business performance metrics using a variety of reporting tools.
• Identify opportunities to improve internal processes by automating data wrangling, optimizing performance and enhancing data quality.
• Prepare documentation and artifacts to support solution delivery and project activities.
• Provide day‑to‑day guidance and mentorship to lower‑level Data Engineers to support talent development.
• Deliver incident management and technical consulting for current applications and solutions.
• Provide technical direction for enhancements of varying scope, including solution alternatives, design, testing and documentation.
• Collaborate with stakeholders and IT partners to design and build efficient data pipelines supporting business and technical requirements.

• Ability to work effectively with contract employees and external vendors.
• Knowledge of change and release management tools and processes used to implement solutions across multiple teams and technologies.
• Strong understanding of data design principles and systems engineering concepts, including structured design, supportability, scalability, reliability, survivability and maintainability.
• Knowledge of project planning and full lifecycle delivery using Agile methodologies.
• Excellent verbal and written communication skills, with the ability to work effectively at all levels of the organization.
• Strong ability to establish and maintain effective working relationships across business and IT teams.
• Understanding of data testing methodologies and associated tools.
• Knowledge of database management principles, including data structures, data…